Analysis of different dimensionality reduction techniques and machine learning algorithms for an intrusion detection system

TN Varunram, MB Shivaprasad… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
Intrusion Detection Systems are of paramount importance in the present-day network
security environment. By analyzing and predicting the behavior of incoming data, IDS helps …

An effective intrusion detection system using supervised machine learning techniques

AS Ahanger, SM Khan… - 2021 5th International …, 2021 - ieeexplore.ieee.org
With the increased use of Internet resources, cyber attackers are using novel ways to attack
the services of network. Thus network security is becoming inevitable part of the network …

Intrusion detection system using machine learning techniques: A review

US Musa, M Chhabra, A Ali… - … international conference on …, 2020 - ieeexplore.ieee.org
The rapid growth in the use of computer networks results in the issues of maintaining the
network availability, integrity, and confidentiality. This necessitates the network …

An estimation of machine learning approaches for intrusion detection system

P Tahiri, S Sonia, P Jain, G Gupta… - 2021 International …, 2021 - ieeexplore.ieee.org
IDS is a machine approach that can prevent or analyze network attacks. An attacker would
concession the confidentiality, availability, and integrity of network resources. Due to these …

Novel approach of intrusion detection classification deeplearning using SVM

P Nagar, HK Menaria, M Tiwari - First International Conference on …, 2019 - Springer
The main objective of intrusion detection systems (IDS) is to discover the dynamic and the
virulent form of network traffic that simply changes according to the characteristics of the …

Machine learning based intrusion detection system for minority attacks classification

AP Singh, S Kumar, A Kumar… - 2022 international …, 2022 - ieeexplore.ieee.org
With the fast usage of internet services, the Internet of Things (IoT) and edge machines are
also connecting to the World Wide Web (WWW). The frequent utilization of these devices …

Intrusion detection system using feature selection with clustering and classification machine learning algorithms on the unsw-nb15 dataset

M Hammad, W El-Medany… - … international conference on …, 2020 - ieeexplore.ieee.org
The identification of malicious network traffic through intrusion detection systems (IDS)
becomes very challenging. This malicious network appears as a network protocols or …

Effective dimensionality reduction techniques for network intrusion detection system based on deep learning

M Srikanth Yadav, R Kalpana - Data Intelligence and Cognitive Informatics …, 2022 - Springer
A universal concern impacting individuals, businesses, and governments has arisen with
regard to the security of the networked infrastructure. Networked network attacks have …

A survey on intrusion detection system using machine learning algorithms

S Gulghane, V Shingate, S Bondgulwar… - … and Application: ICIDCA …, 2020 - Springer
IDS play significant role in the computer network and system. Now a days, research on the
intrusion detection that has been use of machine learning applications. This paper proposes …

Machine learning classifiers for network intrusion detection system: comparative study

O Almomani, MA Almaiah, A Alsaaidah… - 2021 International …, 2021 - ieeexplore.ieee.org
Network security risks are increasing at an exponential rate as Internet technology
advances. Keeping the network protected is one of the most challenging of network security …